package com.codejiwei.flink.practice;

import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;

import java.util.Arrays;

/**
 * @author jiwei
 * @description
 * @date 2023/5/23 15:00
 */
public class Flink_Windows_ReduceFunction {
    public static void main(String[] args) throws Exception {

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(10);

        env.socketTextStream("localhost", 8889)
                .flatMap((String line, Collector< Tuple2<String, Long> > out) -> {
                    Arrays.stream(line.split("\\W+")).forEach(word -> out.collect(Tuple2.of(word, 1L)));
                })
                .returns(Types.TUPLE(Types.STRING, Types.LONG))
                .keyBy(t -> t.f0)
                .window(TumblingProcessingTimeWindows.of(Time.seconds(10)))
                .reduce(new ReduceFunction<Tuple2<String, Long>>() {
                    @Override
                    public Tuple2<String, Long> reduce(Tuple2<String, Long> value1, Tuple2<String, Long> value2) throws Exception {
                        System.out.println(value1 + "----------------" + value2);
                        return Tuple2.of(value1.f0, value1.f1 + value2.f1);
                    }
                })
                .print();

        env.execute();
    }
}
